With the accuracy predictor in place, Pareto-optimal DONNA models are found for several targets. Figure REF  shows DONNA finds networks that outperform the state of the art in terms of the number of parameters, on a simulator targeting tensor compute units in a mobile SoC, on a NVIDIA V100 GPU and on the Samsung S20 GPU. Every predicted Pareto-optimal front is generated using an evolutionary search with NSGA-II [1]}, [2]} on a population of 100 architectures until convergence. Where applicable, full-architecture hardware measurements are used in the evolutionary loop. Details on measurements and baseline accuracy are given in Appendix REF .
